News

Robots dress humans without the full picture

MIT researchers design a robot that has a trick or two up its sleeve.

Dan Huttenlocher ponders our human future in an age of artificial intelligence

For the MIT Schwarzman College of Computing dean, bringing disciplines together is the best way to address challenges and opportunities posed by rapid advancements in computing.

Generating new molecules with graph grammar

An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.

Solving the challenges of robotic pizza-making

A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.

Fighting discrimination in mortgage lending

A new technique for removing bias in datasets can enable machine-learning models to make loan approval predictions that are both fair and accurate.

New program bolsters innovation in next-generation artificial intelligence hardware

MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.

Q&A: Alberto Rodriguez on teaching a robot to find your keys

Associate professor and principal investigator with the MIT Schwarzman College of Computing’s Science Hub discusses the future of robotics and the importance of industry-academia collaborations.

A tool for predicting the future

Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time.

Making quantum circuits more robust

Researchers have developed a technique for making quantum computing more resilient to noise, which boosts performance.

3 Questions: How the MIT mini cheetah learns to run

CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation.